Benefits of extended FSE disk buffer

In an FSE implementation where FSE disk buffer size is insufficient and causes slow or delayed FSE job execution, extending storage space of the FSE disk buffer can speed up the FSE operation. The following FSE job types benefit from a larger FSE disk buffer:

migration

recall (“conventional” recall, efficient recall)

reorganization

administrative (media duplication)

maintenance (redundant copy recreation)

backup (backup, restore)

Additionally, if you extend the FSE disk buffer in your FSE implementation, you can increase the number of jobs that can be executed in parallel, since each job uses its own file system or volume. In circumstances with severe shortage of storage space in the FSE disk buffer, you can also enable performing tasks whose storage space requirements for FSE disk buffer exceeded the previously available space and could not be executed. In the current FSE release, such tasks are media duplication and backup.

How to extend the FSE disk buffer?

FSE disk buffer is extended so that additional file systems are mounted to subdirectories in its root directory, thus extending its storage space by the total size of these file systems. FSE does not limit the number of file systems or volumes assigned to FSE disk buffer.

TIP: Data transfer to and from the extended FSE disk buffer will be faster if the newly assigned file systems are located on separate disks.

The extension procedure

To extend storage space of the FSE disk buffer in your FSE implementation, proceed as follows:

1.For each file system or volume that you want to assign to the FSE disk buffer, follow the substeps:

a.On the consolidated FSE system or FSE server, in the root directory of the FSE disk buffer, create a first-level subdirectory that will serve as the file system mount point.

b.Create a file system (on Linux systems) or volume (disk partition) (on Windows systems) that will contribute to storage space of the FSE disk buffer.

IMPORTANT: To improve performance of the FSE disk buffer on a Linux system, HP recommends that you choose a non-journaled file system for the FSE disk buffer, for example, the Ext2 file system.

For information on creating file systems or volumes, see the following content (depending on the platform of the consolidated FSE system or FSE server):

FSE installation guide for Linux, chapter ”Preparing file systems for FSE”, section ”Preparing file systems”, subsections ”Preparing Logical Volume Manager (LVM) volumesand ”Creating file systems on top of LVM logical volumes”.

FSE installation guide for Windows, chapter ”Preparing file systems for FSE”, section ”Preparing file systems”, subsection ”Configuring separate volumes for FSE databases and system files”.

c.Mount the file system or volume to the subdirectory. For guidance on mounting, see the following content (depending on the platform of the consolidated FSE system or FSE server):

FSE installation guide for Linux, chapter ”Preparing file systems for FSE”, section ”Preparing file systems”, subsection ”Mounting file systems for FSE databases and system files”.

FSE installation guide for Windows, chapter ”Preparing file systems for FSE”, section ”Preparing file systems”, subsection ”Configuring separate volumes for FSE databases and system files”.

2.Restart the FSE implementation. In case of distributed or mixed FSE implementation, make sure to restart the FSE server or consolidated FSE system before starting external FSE clients.

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HP File System Extender (FSE) manual Benefits of extended FSE disk buffer, How to extend the FSE disk buffer?

File System Extender (FSE) specifications

HP File System Extender (FSE) is a sophisticated solution designed to optimize data storage management for enterprises that deal with large volumes of unstructured data. This technology addresses the challenges of data growth and the need for effective data retention strategies, enabling organizations to store and manage their information more efficiently.

One of the main features of HP FSE is its ability to intelligently migrate data between primary and secondary storage. By utilizing policies that determine when to move infrequently accessed files to lower-cost storage environments, FSE helps reduce the strain on primary storage systems and saves on costs associated with high-performance storage solutions. This tiered approach to data management ensures that organizations can access the data they need quickly while still maintaining an efficient overall storage architecture.

Another notable characteristic of HP FSE is its seamless integration with existing storage infrastructures. The solution works with a variety of storage systems, allowing organizations to utilize their current investments without the need for significant changes to their infrastructure. This interoperability is powered by advanced technologies that facilitate data migration and retrieval, ensuring a smooth transition for organizations looking to optimize their storage strategies.

Additionally, HP FSE is equipped with robust reporting and analytics capabilities. This functionality provides organizations with insights into their storage usage, helping them understand data patterns and optimize their storage environments accordingly. By having visibility into which files are accessed most frequently and which are rarely used, organizations can make informed decisions on data retention policies and storage management.

Security is paramount in data management, and HP FSE addresses this concern by implementing advanced data protection features. This includes data encryption, secure access controls, and compliance with industry regulations, ensuring that sensitive information is safeguarded throughout its lifecycle.

Overall, HP File System Extender is a comprehensive data storage solution that combines intelligent data management, seamless integration, insightful analytics, and robust security features. By leveraging these capabilities, organizations can efficiently manage their unstructured data, lower costs, and enhance operational efficiency, making it an invaluable tool in today’s data-driven landscape.